article

Semantic integration: a survey of ontology-based approaches

Author:

Natalya F. NoyAuthors Info & Claims

ACM SIGMOD Record, Volume 33, Issue 4

Pages 65 - 70

https://doi.org/10.1145/1041410.1041421

Published: 01 December 2004 Publication History

Abstract

Semantic integration is an active area of research in several disciplines, such as databases, information-integration, and ontologies. This paper provides a brief survey of the approaches to semantic integration developed by researchers in the ontology community. We focus on the approaches that differentiate the ontology research from other related areas. The goal of the paper is to provide a reader who may not be very familiar with ontology research with introduction to major themes in this research and with pointers to different research projects. We discuss techniques for finding correspondences between ontologies, declarative ways of representing these correspondences, and use of these correspondences in various semantic-integration tasks

References

[1]

J. Barwise and J. Seligman. Information Flow: The Logic of Distributed Systems. Cambridge University Press, 1997.

Digital Library

[2]

D. Calvanese, G. Giacomo, and M. Lenzerini. Ontology of integration and integration of ontologies. In Description Logic Workshop (DL 2001), pages 10--19, 2001.

[3]

D. Calvanese, G. D. Giacomo, M. Lenzerini, R. Rosati, and G. Vetere. DL-lite: Practical Reasoning for Rich DLs. In International Workshop on Description Logics (DL2004), Whistler, Canada, 2004.

[4]

M. Crubézy and M. A. Musen. Ontologies in support of problem solving. In S. Staab and R. Studer, editors, Handbook on Ontologies, pages 321--342. Sringer, 2003.

[5]

A. Doan, J. Madhavan, P. Domingos, and A. Halevy. Learning to map between ontologies on the semantic web. In The Eleventh International WWW Conference, Hawaii, US, 2002.

Digital Library

[6]

D. Dou, D. McDermott, and P. Qi. Ontology translation on the semantic web. In International Conference on Ontologies, Databases and Applications of Semantics, 2003.

[7]

J. Euzenat and P. Valtchev. Similarity-based ontology alignment in OWL-Lite. In The 16th European Conference on Artificial Intelligence (ECAI-04), Valencia, Spain, 2004.

Digital Library

[8]

A. Gangemi, N. Guarino, C. Masolo, and A. Oltramari. Sweetening wordnet with DOLCE. AI Magazine, 24(3): 13--24, 2003.

Digital Library

[9]

B. Ganter and R. Wille. Formal Concept Analysis: Mathematical foundations. Springer, Berlin-Heidelberg, 1999.

Digital Library

[10]

F. Giunchiglia, P. Shvaiko, and M. Yatskevich. Semantic matching. In 1st European semantic web symposium (ESWS'04), pages 61--75, Heraklion, Greece, 2004.

[11]

M. Grüninger. A guide to the ontology of the process specification language. In S. Staab and R. Studer, editors, Handbook on Ontologies. Sringer, 2003.

[12]

M. Grüninger and J. Kopena. Semantic integration through invariants. In A. Doan, A. Halevy, and N. Noy, editors, Workshop on Semantic Integration at ISWC-2003, Sanibel Island, FL, 2003.

[13]

E. Hovy. Combining and standardizing largescale, practical ontologies for machine translation and other uses. In The First International Conference on Language Resources and Evaluation (LREC), pages 535--542, Granada, Spain, 1998.

[14]

Y. Kalfoglou and M. Schorlemmer. IF-Map: an ontology mapping method based on information flow theory. Journal on Data Semantics, 1(1):98--127, Oct. 2003.

[15]

Y. Kalfoglou and M. Schorlemmer. Ontology mapping: the state of the art. The Knowledge Engineering Review, 18(1): 1--31, 2003.

Digital Library

[16]

M. Klein. Combining and relating ontologies: an analysis of problems and solutions. In IJCAI-2001 Workshop on Ontologies and Information Sharing, pages 53--62, Seattle, WA, 2001.

[17]

J. Madhavan, P. Bernstein, and E. Rahm. Generic schema matching using Cupid. In The 27th International Conf. on Very Large Data Bases (VLDB'01), Rome, Italy, 2001.

Digital Library

[18]

A. Maedche, B. Motik, N. Silva, and R. Volz. MAFRA - a mapping framework for distributed ontologies. In 13th European Conference on Knowledge Engineering and Knowledge Management EKAW, Madrid, Spain, 2002.

Digital Library

[19]

I. Niles and A. Pease. Towards a standard upper ontology. In The 2nd International Conference on Formal Ontology in Information Systems (FOIS-2001), Ogunquit, Maine, 2001.

Digital Library

[20]

N. F. Noy and M. A. Musen. The PROMPT suite: Interactive tools for ontology merging and mapping. International Journal of Human-Computer Studies, 59(6):983--1024, 2003.

Digital Library

[21]

S. Polyak, J. Lee, M. Gruninger, and C. Menzel. Applying the process interchange format(PIF) to a supply chain process interoperability scenario. In Workshop on Applications of Ontologies and Problem Solving Methods, ECAI'98, Brighton, England, 1998.

[22]

E. Rahm and P. A. Bernstein. A survey of approaches to automatic schema matching. VLDB Journal, 10(4), 2001.

Digital Library

[23]

G. Stumme and A. Mädche. FCA-Merge: Bottom-up merging of ontologies. In 7th Intl. Conf. on Artificial Intelligence (IJCAI '01), pages 225--230, Seattle, WA, 2001.

Digital Library

[24]

M. Uschold and M. Grüninger. Ontologies and semantics for seamless connectivity. SIGMOD Record, 33(3), 2004.

Digital Library

[25]

A. Valente, T. Russ, R. MacGrecor, and W. Swartout. Building and (re)using an ontology for air campaign planning. IEEE Intelligent Systems, 14(1):27--36, 1999.

Digital Library

[26]

C. Welty. Ontology research. AI Magazine, 24(3), 2003.

Digital Library

Cited By

Pileggi S(2024)Ontology in Hybrid Intelligence: A Concise Literature ReviewFuture Internet10.3390/fi1608026816:8(268)Online publication date: 28-Jul-2024
https://doi.org/10.3390/fi16080268
Osman IPileggi SYahia S(2024)Uncertainty in Automated Ontology Matching: Lessons from an Empirical EvaluationApplied Sciences10.3390/app1411467914:11(4679)Online publication date: 29-May-2024
https://doi.org/10.3390/app14114679
Gu ZCorcoglioniti FLanti DMosca AXiao GXiong JCalvanese D(2024)A systematic overview of data federation systemsSemantic Web10.3233/SW-22320115:1(107-165)Online publication date: 12-Jan-2024
https://doi.org/10.3233/SW-223201
Show More Cited By

Recommendations

Domain Ontology Component-Based Semantic Information Integration
ETCS '09: Proceedings of the 2009 First International Workshop on Education Technology and Computer Science - Volume 03

Research on architecture of domain ontology component-based information semantic representation and integration is studied. Domain ontology component, a "loosely coupled" approach in the use of ontology, is advocated. As a case study, a prototype for ...
Institutionalising ontology-based semantic integration

We address what is still a scarcity of general mathematical foundations for ontology-based semantic integration underlying current knowledge engineering methodologies in decentralised and distributed environments. After recalling the first-order ...
Ontology alignment for semantic data integration through foundational ontologies
ER'12: Proceedings of the 2012 international conference on Advances in Conceptual Modeling

Ontology alignment is the process of finding corresponding entities with the same intended meaning in different ontologies. In scenarios where an ontology conceptually describes the contents of a data repository, this provides valuable information for ...

Comments

Information & Contributors

Information

Published In

cover image ACM SIGMOD Record

ACM SIGMOD Record Volume 33, Issue 4

December 2004

92 pages

ISSN:0163-5808

DOI:10.1145/1041410

Issue’s Table of Contents

Copyright © 2004 Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 2004

Published in SIGMOD Volume 33, Issue 4

Check for updates

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

716
Total Citations
View Citations
7,437
Total Downloads

Downloads (Last 12 months)97
Downloads (Last 6 weeks)6

Reflects downloads up to 15 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

Pileggi S(2024)Ontology in Hybrid Intelligence: A Concise Literature ReviewFuture Internet10.3390/fi1608026816:8(268)Online publication date: 28-Jul-2024
https://doi.org/10.3390/fi16080268
Osman IPileggi SYahia S(2024)Uncertainty in Automated Ontology Matching: Lessons from an Empirical EvaluationApplied Sciences10.3390/app1411467914:11(4679)Online publication date: 29-May-2024
https://doi.org/10.3390/app14114679
Gu ZCorcoglioniti FLanti DMosca AXiao GXiong JCalvanese D(2024)A systematic overview of data federation systemsSemantic Web10.3233/SW-22320115:1(107-165)Online publication date: 12-Jan-2024
https://doi.org/10.3233/SW-223201
Yang HXiao LZhu RLiu ZChen J(2024)Interlinking Clinical Guidelines via Mining Medical Literature Knowledge for Multi-Morbidity Decision-Making2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC61105.2024.00165(1250-1255)Online publication date: 2-Jul-2024
https://doi.org/10.1109/COMPSAC61105.2024.00165
Kumawat HKaalia RGhosh I(2024)Role of Ontology in Biomedical Text MiningText Mining Approaches for Biomedical Data10.1007/978-981-97-3962-2_7(117-125)Online publication date: 4-Sep-2024
https://doi.org/10.1007/978-981-97-3962-2_7
Kouamo JKouokam EAtemezing G(2024)Building and Validating an Ontology for Public Procurement: The Case of CameroonResearch in Computer Science10.1007/978-3-031-63110-8_9(106-116)Online publication date: 28-Jun-2024
https://doi.org/10.1007/978-3-031-63110-8_9
Lee JSong J(2023)Towards Semantic Smart Cities: A Study on the Conceptualization and Implementation of Semantic Context Inference SystemsSensors10.3390/s2323939223:23(9392)Online publication date: 24-Nov-2023
https://doi.org/10.3390/s23239392
Lambrix P(2023)Completing and Debugging Ontologies: State-of-the-art and Challenges in Repairing OntologiesJournal of Data and Information Quality10.1145/359730415:4(1-38)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1145/3597304
Ataeva OSerebryakov VTuchkova N(2023)Development of the Semantic Space ‘‘Mathematics’’ by Integrating a Subspace of Its Applied AreaLobachevskii Journal of Mathematics10.1134/S199508022215006943:12(3435-3446)Online publication date: 17-Mar-2023
https://doi.org/10.1134/S1995080222150069
Hou PAo JSchatz KGulyuk AYingling YChirkova R(2023)Provenance-Aware Data Integration and Summarization Querying for Knowledge GraphsInformation Integration and Web Intelligence10.1007/978-3-031-48316-5_29(293-308)Online publication date: 4-Dec-2023
https://dl.acm.org/doi/10.1007/978-3-031-48316-5_29
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Issue’s Table of Contents